View clinical trials related to Digital Health.
Filter by:Smart technologies, such as wearable devices, mobile technologies, and artificial intelligence, are being investigated for use in health management. These technologies have the potential to be applied in disease pre-warning, decision-making support, health education, and healthcare maintenance. They are expected to address the challenges in managing thrombosis, improve access to high-quality medical resources in various regions, and enhance the development of a network for thrombosis rescue and treatment prevention. The objective of this study is to evaluate the impact of mobile venous thromboembolism application (mVTEA) based patient-centered management of pulmonary thromboembolism (PTE) on the long-term outcome of PTE patients, in order to enhance clinical practice and establish a foundation of evidence for managing patients with PTE.
Venous thromboembolism (VTE) is the third leading cause of cardiovascular disease deaths globally, and its incidence is increasing over the years. Hospital-acquired VTE accounts for approximately 75% of all deaths attributed to VTE. However, only half of patients with indications for VTE prophylaxis take preventive measures, and high rates of inappropriate VTE prophylaxis prescribing contribute to the gap between VTE prophylaxis and guidelines. To further minimize the gap between clinical practice and guidelines, a range of strategies have been employed across various fields of VTE prophylaxis. One of the most effective measures is the utilization of a Clinical Decision Support System (CDSS). Smart technology-based CDSS facilitates automated evaluation of VTE risk and detection, addressing issues at both the beginning and end of the in-hospital VTE prevention process. but there is still a lack of research on how to effectively implement evidence-based VTE prophylaxis in the middle of the process. In our hospital, routine use of DeVTEcare system (a CDSS for VTE risk assessment and integrated care) for in-hospital management of VTE has been launched since 2021. This study aims to investigate the effect of integrating bundled guideline-based VTE prevention strategies into the DeVTEcare system on in-hospital VTE prophylaxis.
Smart technologies, such as wearable devices, mobile technologies, and artificial intelligence, are being investigated for use in health management. These technologies have the potential to be applied in disease pre-warning, decision-making support, health education, and healthcare maintenance. They are expected to address the challenges in managing thrombosis, improve access to high-quality medical resources in various regions, and enhance the development of a network for thrombosis rescue and treatment prevention. The objective of this study is to observe the long-term effect of mobile venous thromboembolism application (mVTEA) based patient-centered management of venous thromboembolism (VTE) on thromboprophylaxis, and establish a foundation of evidence for managing patients with high-risk VTE.
Smart technologies, such as wearable devices, mobile technologies, and artificial intelligence, are being investigated for use in health management. These technologies have the potential to be applied in disease pre-warning, decision-making support, health education, and healthcare maintenance. They are expected to address the challenges in managing thrombosis, improve access to high-quality medical resources in various regions, and enhance the development of a network for thrombosis rescue and treatment prevention. The objective of this study is to evaluate the impact of mobile venous thromboembolism application (mVTEA) based patient-centered management of venous thromboembolism (VTE) on patients' perceptions of thromboprophylaxis, in order to enhance clinical practice and establish a foundation of evidence for managing patients with VTE.
Inadequate medication adherence (MA) in chronic conditions, including cardiovascular prevention, represents an important risk factor. The use of new IT technologies in this setting is supposed to be useful to improve patients' adherence, but currently available solutions have significant limitations, including lack of personalization and reliance on expensive ad hoc systems. This interdisciplinary project aims to verify the hypothesis that in patients on chronic antihypertensive treatment MA can be improved through the implementation of a novel digital health solution for MA monitoring and support, based on inexpensive and user-friendly, commercially available technology (voice assistant), connected with web interface for the physician. The intervention will be personalized based on the creation of Personas, intended as multidisciplinary-based representations of different user types. This approach will be tested in a randomized clinical trial.
Diabetes is a broad-spectrum metabolic disorder that causes a defect in the organism's carbohydrate, fat, and protein metabolism processes due to insulin deficiency or impaired insulin effect. Diabetes requires continuous medical care and causes chronic, severe mortality and morbidity. More than 90% of all people with diabetes worldwide suffer from Type 2 DM. Diabetes self-management includes self-monitoring of blood glucose levels, knowing and managing the symptoms of hypoglycemia and hyperglycemia, adherence to diet, physical exercise, and diabetic foot care. Considering the high prevalent and undesirable consequences of diabetes in the world, it is necessary to benefit from new educational technologies and tools. One of these technologies is gamification, which increases the quality of education as an effective educational tool, creates motivation and enthusiasm, and develops a sense of competition in the target audience. This study plans to develop a game that will include virtual coaching to increase the self-management and glycemic control of patients with type 2 diabetes.
Hypothyroidism refers to the common pathological condition of thyroid hormone deficiency. The annual incidence of hypothyroidism is 3.5 per 1000 in women and 0.6 in per 1000 men. Hypothyroidism is seen 5-8 times more frequently in women than in men. Patients with hypothyroidism have a higher prevalence of cardiovascular risk factors and often have metabolic syndrome features such as hypertension, increased waist circumference, and dyslipidemia. Other signs and symptoms include bradycardia, slow speech, swelling in the eyes and face, weight gain, decreased sweating, hair loss, pallor, forgetfulness, decreased concentration, depression, irritability, tongue growth, loss of appetite, palpitations, decreased hearing, menstrual irregularities, muscle pains, and cramps. Depending on all these signs and symptoms, hypothyroidism can negatively affect the quality of life of individuals. Therefore, it is essential to reduce symptoms and to improve patients' abilities to manage them. It is stated that the appropriate use of mobile health applications helps the patient to make informed decisions about health management and treatment. Therefore, this study plans to investigate the effect of mobile technology on symptom management in individuals with hypothyroidism, whose symptoms range from mild to severe.
Informal caregivers of persons with dementia (PWD) usually experience elevated levels of caregiving burden and potential depression. This project aims to develop and pilot-test a mobile app intervention for informal caregivers of PWD in Singapore. The project will have three phases in total including 1) phase 1 - to develop the app prototype and collect feedback from caregivers via focused group discussions. 2) a pilot RCT with 60 participants in total - 30 will be required to use the app for one month while another 30 will be on a waiting list for one month. and 3) in-depth interviews to seek users' feedback on the app for its future improvements. We hypothesize that the mobile app designed through a user-centered process would lead to high acceptance and high user engagement among local dementia caregivers. The 1-month intervention using the app developed subsequently would lower the reported depressive symptoms among local dementia caregiver. It will also improve their knowledge of dementia, caregiving efficacy, positive coping strategy, perceived positive aspects of caregiver and social support, and their mental well-being; and reduce their caregiving burden, and level of anxiety, compared to the control group.
This is a mixed methods, prospective longitudinal pilot RCT to evaluate the 1) acceptability of a newly developed mHealth app (BMT4me), 2) the feasibility of enrolling and retaining caregivers of children in the acute phase post-HSCT, and 3) the potential efficacy of an mHealth app on adherence to immunosuppressants in post-HSCT children discharged during the acute phase.
To comprehensively evaluate subclinical organ damage of Chinese adults and its association with future cardiovascular disease and events. To observe the significance of intervention based on digital health in preventing the onset and/or progression of subclinical organ damage and cardiovascular disease and events.